How Can Bayesian Probability Be Applied to Neonatal Disorders?
In the case of neonatal disorders, Bayesian probability can be instrumental in improving diagnostic accuracy. For instance, consider the diagnosis of neonatal sepsis. Physicians start with an initial probability based on general prevalence and risk factors. As clinical signs, laboratory results, and other pieces of evidence come in, they can update this initial probability. This approach allows for a dynamic and more accurate diagnosis, which is crucial in the timely treatment of sepsis.
